def setup_method(self, method):
s_eels = EELSSpectrum([list(range(10))] * 3)
s_eels.metadata.set_item(
'Acquisition_instrument.TEM.Detector.EELS.collection_angle', 3.0)
s_eels.metadata.set_item('Acquisition_instrument.TEM.beam_energy', 1.0)
s_eels.metadata.set_item(
'Acquisition_instrument.TEM.convergence_angle', 2.0)
self.eels_m = s_eels.create_model(auto_background=False)
def setUp(self):
s_eels = EELSSpectrum([list(range(10))] * 3)
s_eels.metadata.set_item(
'Acquisition_instrument.TEM.Detector.EELS.collection_angle',
3.0)
s_eels.metadata.set_item('Acquisition_instrument.TEM.beam_energy', 1.0)
s_eels.metadata.set_item(
'Acquisition_instrument.TEM.convergence_angle',
2.0)
self.eels_m = s_eels.create_model(auto_background=False)
def setup_method(self, method):
data = np.random.random((10, 10, 600))
s = EELSSpectrum(data)
s.axes_manager[-1].offset = -150.
s.axes_manager[-1].scale = 0.5
s.metadata.set_item(
'Acquisition_instrument.TEM.Detector.EELS.collection_angle', 3.0)
s.metadata.set_item('Acquisition_instrument.TEM.beam_energy', 1.0)
s.metadata.set_item('Acquisition_instrument.TEM.convergence_angle',
2.0)
m = s.create_model(ll=s + 1,
auto_background=False,
auto_add_edges=False)
g = Gaussian()
m.append(g)
self.model = m
def setUp(self):
data = np.random.random((10, 10, 600))
s = EELSSpectrum(data)
s.axes_manager[-1].offset = -150.
s.axes_manager[-1].scale = 0.5
s.metadata.set_item(
'Acquisition_instrument.TEM.Detector.EELS.collection_angle',
3.0)
s.metadata.set_item('Acquisition_instrument.TEM.beam_energy', 1.0)
s.metadata.set_item(
'Acquisition_instrument.TEM.convergence_angle',
2.0)
m = s.create_model(
ll=s + 1,
auto_background=False,
auto_add_edges=False)
g = Gaussian()
m.append(g)
self.model = m
